Abstract: Method of sequential handling of a plurality of freight units by an end effector of a robotic system comprises training a neural network operable to bias a plurality of samples of a configuration space of the end effector. Deployment of the trained neural network involves sensing an arrangement of freight units in a scene based on an image of the scene from a sensor. A freight unit is chosen based on the at least one trained neural network. A starting pose of the robotic end effector as a means to pick the chosen freight unit is chosen; and a goal pose of the robotic end effector is chosen as a means to place the chosen freight unit. A motion of the robotic end effector is planned from the starting pose to the goal pose based on a biased plurality of samples. Then motion on the end effector is controlled based on the planning.